About the job

Data-Hat AI | Remote, India | Immediate Hiring

Employment Type: Contract, Part time or Full-time

Location: Anywhere in India (100% Remote)

Start Date: Immediate

Experience: 5+ years preferred

Digital Commerce, Agentic Commerce & AI Search Intelligence Specialist

We are looking for an experienced Digital Commerce & Growth Analytics specialist to join our product development team immediately. Agentic Commerce & AI Search Intelligence experience will be nice to have.

About the Role

You will be our subject matter expert for the digital commerce and advertising ecosystem, working closely with our AI engineers, developers, data scientists and retail merchandising specialists. Ability to help build AI-driven product discovery, agentic commerce will be a nice-to-have.

Your primary responsibility will be to help design and build the capabilities that connect advertising activity, website customer behavior and ecommerce outcomes into actionable retail demand intelligence, for both online and agentic work.

This is a product development role, not an advertising campaign management or SEO Agency position.

Key Responsibilities

- Map the digital customer journey from advertising impression and click through landing pages, product discovery, shopping cart and purchase or abandonment.
- Define the data signals, events and tracking requirements needed to understand customer intent and missed demand.
- Design integrations with Google Ads, Meta Ads, TikTok Ads, GA4, Shopify and other ecommerce platforms.
- Work with engineering teams to develop event tracking, data collection and attribution capabilities.
- Help identify relationships between advertising creatives, acquisition campaigns, customer behavior and product-level demand.
- Translate digital analytics and marketing technology concepts into clear product requirements and technical specifications.
- Validate product capabilities against real-world ecommerce and advertising workflows.
- Collaborate with merchandising and AI teams to turn digital behaviour into actionable commercial insights.

Agentic Commerce & AI-Driven Product Discovery

- Help design capabilities that enable retailers to understand and improve how their products are discovered, evaluated and recommended by AI shopping assistants and conversational commerce platforms.
- Work with emerging ecosystems such as ChatGPT Shopping, Google AI Mode, Gemini and other AI-powered commerce experiences.
- Understand emerging agentic commerce standards and integration approaches, including Agentic Commerce Protocol (ACP), Universal Commerce Protocol (UCP), Model Context Protocol (MCP) and relevant commerce APIs.
- Define how product catalogs, structured product attributes, pricing, inventory availability, images, reviews and customer intent signals should be represented for AI-powered discovery.
- Help identify the product and behavioral data needed to understand AI-driven shopping journeys, recommendations, referrals and purchases.
- Collaborate with engineers to design and validate integrations, product feeds and measurement capabilities for emerging agentic commerce channels.

Answer Engine Optimization (AEO), Generative Engine Optimization (GEO) & Search Intelligence





- Understand how products, brands and retailers are surfaced, cited and recommended by AI answer engines, generative search systems and conversational assistants.
- Identify factors influencing AI product discoverability, including structured data, product content, semantic relevance, entity relationships, product attributes, reviews and merchant information.
- Help design capabilities to monitor product visibility, brand mentions, citations and competitive positioning across AI search environments.
- Define practical approaches to evaluating and improving product discoverability across both traditional search and AI-powered shopping experiences.
- Understand technical SEO, schema.org, product structured data, Google Merchant Center, product feeds and the relationship between SEO, AEO and GEO.
- Develop methods to connect AI search visibility and referral activity with customer engagement, product demand and commercial outcomes.
- Help distinguish measurable commercial impact from experimental or unreliable AI visibility metrics.

Required Skills and Experience

- Digital Advertising & Marketing Technology
- Strong understanding of Google Ads, Meta Ads and TikTok Ads.
- Experience with campaign structures, creatives, tracking parameters, conversion measurement and attribution.
- Understanding of advertising pixels, APIs and server-side conversion tracking.
- Web & Ecommerce Analytics
- Hands-on expertise in GA4 and Google Tag Manager.
- Strong knowledge of event tracking, conversion funnels, customer journeys and behavioral analytics.
- Experience with ecommerce platforms, preferably Shopify.
- Understanding of product discovery, onsite search, PDP interactions, cart abandonment and checkout behavior
- Ability to analyze add-to-cart rate, cart abandonment, checkout completion, online conversion rate and funnel drop-offs, and identify opportunities for conversion rate optimization.
- Strong understanding of ROAS, CAC, CPA, customer lifetime value (LTV), average order value (AOV), attribution and channel profitability.
- Ability to analyze sales, product and SKU performance, customer retention, repeat purchases, discounts, refunds and customer cohorts.
- Understanding of demand forecasting, seasonality, promotional planning, inventory availability, stockout analysis and lost-sales estimation.
- Ability to understand contribution margin and evaluate commercial performance beyond revenue alone.

Technical & Analytical Skills

- Ability to define event schemas, tracking specifications and data requirements.
- Working knowledge of SQL and digital analytics data structures.
- Familiarity with APIs, web SDKs, data pipelines and identity/session tracking.
- Ability to work directly with software engineers and technical product teams.




- Strong working knowledge of SQL and advanced Excel; practical experience using Python for data analysis, automation or statistical modelling.
- Experience with time-series analysis, demand forecasting, regression, predictive modelling, cohort analysis and experimentation (including A/B testing).
- Ability to build and interpret dashboards using Power BI, Tableau or Looker Studio, and translate analysis into clear business recommendations.
- Understanding of Shopify data structures and hands-on experience with Shopify Admin, ShopifyQL, Shopify APIs and data exports.

Additional Eligibility Criteria

- 5+ years of relevant experience in eCommerce, digital commerce, growth analytics, retail analytics or business analytics is preferred.
- Hands-on implementation experience is preferred: candidates should have configured tracking, connected data sources, built analytical workflows or delivered dashboards—not only consumed reports.
- Experience in fashion, beauty, luxury, lifestyle or direct-to-consumer (DTC) ecommerce is highly desirable.
- Candidates should be able to connect digital marketing and website behaviour with product demand, inventory availability, sales and profitability outcomes.

Ideal Candidate Profile

You may currently be working as a:

- Digital Analytics Lead or Manager
- Growth Analytics Lead
- Ecommerce Analytics Manager
- Marketing Technology Specialist
- Digital Measurement or Attribution Lead
- Senior Digital Commerce Analyst
- Experience within fashion, beauty, luxury, lifestyle or DTC ecommerce businesses is highly desirable.
- We are particularly interested in candidates who have implemented digital analytics and measurement systems themselves, rather than only consuming reports or managing agency relationships.

About Data-Hat AI

Data-Hat AI is an AI technology startup building the next generation of retail demand intelligence solutions for fashion, beauty and luxury retailers. Our technology connects digital customer journeys, advertising signals, product interactions and in-store customer feedback to identify unmet demand, recover lost sales and improve merchandising and inventory decisions. Our team brings senior leadership experience combining deep expertise in retail, AI, analytics and enterprise technology.

What We Offer

- Opportunity to build an innovative AI product for major global retailers.
- Direct collaboration with experienced retail, AI and technology leaders.
- Significant ownership of the digital commerce intelligence capabilities.
- Fully remote working from anywhere in India.
- Flexible contract engagement, part-time or full-time.
- Opportunity to help shape a growing technology company at an early stage.

How to Apply

- We are hiring immediately and reviewing applications as they arrive.
- Please submit your CV or LinkedIn profile.
- A brief description of your experience with GA4, Shopify, advertising platforms and digital tracking.
- An example of a digital analytics or marketing technology implementation you have worked on.
- Your availability and preference for part-time or full-time contract work.
- Join Data-Hat AI and help build the intelligence layer connecting digital customer demand with retail decisions.

📌 Digital Commerce, Growth Analytics and Agentic Commerce Lead (India)
🏢 Data-Hat AI
📍 India